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padfem2 – An Efficient, Comfortable Framework for Massively Parallel FEM-Applications

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Recent Advances in Parallel Virtual Machine and Message Passing Interface (EuroPVM/MPI 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2840))

Abstract

In this paper a new MPI-based frameworkpadfem2 for finite elements methods (FEM) is presented allowing an efficient execution of FEM applications on clusters with SMP nodes. This paper focuses on the global architecture and on an unique parallel data structure for high-performance object management on structured and unstructured grids. The efficiency and scalability of the parallel FEM processing is evaluated using Poisson and Navier-Stokes numerical solvers as an example.

This work is partly supported by the German Science Foundation (DFG) project SFB-376.

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References

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Author information

Authors and Affiliations

  1. Paderborn Center for Parallel Computing, Paderborn University, Fuerstenallee 11, 33102, Paderborn, Germany

    Stephan Blazy, Odej Kao & Oliver Marquardt

Authors
  1. Stephan Blazy
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  2. Odej Kao
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  3. Oliver Marquardt
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Editor information

Editors and Affiliations

  1. Computer Science Department, University of Tennessee, 37996-3450, Knoxville, TN, USA

    Jack Dongarra

  2. Information Science and Technologies Institute (ISTI), The Italian National Research Council (CNR), Area della Ricerca, Via Giuseppe Moruzzi, 1, I-56126, Pisa, Italy

    Domenico Laforenza

  3. Department of Computer Science, Ca’ Foscari University of Venice, Italy

    Salvatore Orlando

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© 2003 Springer-Verlag Berlin Heidelberg

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Blazy, S., Kao, O., Marquardt, O. (2003). padfem2 – An Efficient, Comfortable Framework for Massively Parallel FEM-Applications. In: Dongarra, J., Laforenza, D., Orlando, S. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2003. Lecture Notes in Computer Science, vol 2840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39924-7_94

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  • DOI: https://doi.org/10.1007/978-3-540-39924-7_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20149-6

  • Online ISBN: 978-3-540-39924-7

  • eBook Packages: Springer Book Archive

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